Senior Data Engineer

Remote

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Job Type Full-time Description

 

Our Company - Actabl

In looking at a job posting, it’s often hard to get a basic picture of the company profile (size, stage, structure, etc.) which is why we are sharing it with you upfront. This helps you quickly decide and helps us focus any time we spend together on going beyond the basics:

  • Mission: Our mission is to empower the people that power hospitality. We’re on a journey to provide better solutions for hotel companies as the world around us evolves and changes related to using technology, finding labor and maximizing profits.- it is important that the mission inspires you even if you haven’t worked in space before.
  • Industry: We are a hospitality company selling software as a service. 
  • Customers: We serve hotels - both onsite hotel operators and above-property hotel management groups. 
  • Team: We are a global team of 350 with a remote-first mindset. We have hubs with office space in Atlanta, Tampa, and Denver. - if you are local to these areas you will have the option to work remotely and/or in-office
  • Structure: We are organized around the following key departments: Revenue, Customer Experience, Product, Technology & Quality, People, Finance, Business Operations & Strategy.
  • Funding: We have significant investment from private equity firm ASG, which has allowed us to expand our teams and move faster in our mission to empower the people that power hospitality.

Our Valued Behaviors

  • Start with People: We are in the hospitality business and hospitality starts with people. This impacts both our being and our doing.
    • Being: Our default posture is kindness and warmth. We are responsible for building relationships, earning trust, and having fun. These things are fundamental to hospitality.
    • Doing: We will succeed if we start with great people working as one team. We will fail if we discount the importance of people and work alone. Empower others, speak truth with care, and go together.
  • Demand Integrity: Without integrity, nothing else matters. Be trustworthy, be ethical, and be consistent whether someone is watching or not. Demand integrity of yourself and others to build the fabric of a high-integrity organization.
  • Delight the Customer: We hold ourselves to incredibly high standards and understand that excellence is the product of doing a thousand small things very well. Our job is not done until we have exceeded our customers' expectations. We aim to delight our customers in the same way our customers aim to delight their guests. The question is not if completed a process or hit a metric, the question is whether or not the customer is delighted.
  • Champion Innovation: We compete in the game of change and win through innovation. Our customers have problems that are always changing and they rely on us to adapt to solve them. Think big and then think bigger when it comes to the innovation required to tackle these problems. We will endure for our people, our customers, and our investors if we innovate through change.
  • Make it Happen: We apply constant, inspiring, pressure to ourselves and others to get things done. We cultivate high "Hospitality Quotients" (Grit + Intelligence + Empathy) to perform better today than we did yesterday. We show up prepared, care about the details, and follow through. Don't get distracted. Don't stop at blockers. Don't make excuses. Find a way and drive until it is done.

Your Role - Come Join Our Team!


We are seeking a highly motivated Senior Data Engineer to join our growing team. The ideal candidate will have a strong understanding of both technical aspects and business needs related to data. In this role you will work closely with Data Analysts, Data Scientists, and Products to deliver an exceptional data experience using an agile methodology.


Key Responsibilities

  • Develop, maintain, and monitor scalable data pipelines to extract and load ‘big data’ datasets
  • Clean, transform, and aggregate raw data into useful formats for ML/AI, business needs
  • Develop and maintain robust data architectures to support business needs
  • Implement processes and systems to monitor data quality, ensuring production data is always accurate and available
  • Collaborate with the analytics and product teams to create and improve data models for BI tools, increasing data accessibility
  • Use agile software development processes to make iterative improvements
  • Work with cross-functional teams to address data-related technical issues and improve data models
  • Strong ability to troubleshoot, communicate, and solve data-related issues
  • Be an advocate for best practices and continued learning
  • Help foster data-driven decision-making across the organization through confidence in the output
  • Other duties as assigned


Requirements

Must Have

  • Minimum 5 years experience in a Data Engineering or similar role
    • Data modeling with the Kimball Star Schema technique
    • Building data pipelines and transforming data
    • Data Warehousing techniques
  • Strong SQL skills
  • Excellent problem-solving and analytical skills
  • Strong communication skills and ability to explain technical concepts to non-technical audiences
  • Experience with Azure Data Factory (ADF), Data Build Tool (DBT), and Snowflake

Nice to Have

  • Experience with the Data Vault 2.0 
  • Experience writing Python scripts

 

Job Benefits

  • Health & Wellness
    • Medical, dental, and vision insurance for employees and dependents
    • Employer-paid Life and AD&D, Short-Term Disability, and Long-Term Disability
    • Employee Assistance Program provides counseling for a variety of needs
  • Financial Wellbeing
    • Marketable base salary, competitive bonus structure, and MPI program
    • Employer-paid medical, dental, and vision insurance for employees
    • Retirement plan and 401(k) match
  • Flexibility & Time Off
    • Discretionary time off to be used when needed
    • 24 paid holidays per year
    • 12 weeks of parental leave for birthing and non-birthing parents
Salary Description $115,000 - $125,000
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Category: Engineering Jobs

Tags: Agile Architecture Azure Big Data CX Data pipelines Data quality Data Warehousing dbt Engineering Finance Machine Learning Pipelines Python Snowflake SQL

Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Insurance Medical leave Parental leave Salary bonus Wellness

Region: Remote/Anywhere

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